MATLAB File Help: cv.SVD Index
cv.SVD

Singular Value Decomposition

Class for computing Singular Value Decomposition of a floating-point matrix. The Singular Value Decomposition is used to solve least-square problems, under-determined linear systems, invert matrices, compute condition numbers, and so on.

If you want to compute a condition number of a matrix or an absolute value of its determinant, you do not need u and vt. You can pass 'NoUV' flag. Another flag 'FullUV' indicates that full-size u and vt must be computed, which is not necessary most of the time.

See also
cv.SVD/compute
Class Details
Superclasses handle
Sealed false
Construct on load false
Constructor Summary
SVD Default constructor 
Property Summary
id Object ID 
u left singular vectors 
vt transposed matrix of right singular vectors 
w singular values 
Method Summary
Static   BackSubst Performs back substitution 
Static   Compute Performs SVD of a matrix 
Static   SolveZ Solves an under-determined singular linear system 
  addlistener Add listener for event. 
  backSubst performs a singular value back substitution 
  compute the operator that performs SVD 
  delete Destructor 
  eq == (EQ) Test handle equality. 
  findobj Find objects matching specified conditions. 
  findprop Find property of MATLAB handle object. 
  ge >= (GE) Greater than or equal relation for handles. 
  gt > (GT) Greater than relation for handles. 
Sealed   isvalid Test handle validity. 
  le <= (LE) Less than or equal relation for handles. 
  lt < (LT) Less than relation for handles. 
  ne ~= (NE) Not equal relation for handles. 
  notify Notify listeners of event.